Altitude offers an integrated platform that uses IoT sensors and AI to dynamically manage building environments. It optimizes HVAC, lighting, and shading based on real-time occupancy and environmental data, improving occupant comfort and energy efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional building management systems offer static environmental controls, failing to dynamically adjust to real-time occupant needs and fluctuating external conditions. This leads to suboptimal occupant comfort, inefficient energy consumption, and increased operational overhead for facility managers.
Solution
Altitude provides an integrated platform that leverages IoT sensors and advanced control algorithms to create responsive building environments. The system continuously monitors occupancy, air quality, and ambient conditions, automatically adjusting HVAC, lighting, and shading systems to maintain optimal comfort and energy efficiency. By analyzing real-time data, Altitude's platform enables predictive maintenance and proactive resource allocation, enhancing overall building performance and occupant well-being. This data-driven approach streamlines facility operations and reduces the carbon footprint of commercial spaces.
Target Audience
Altitude targets commercial real estate owners, facility managers, and corporate real estate departments seeking to improve building performance, occupant experience, and operational efficiency.
Features
- IoT sensor network for granular data collection on occupancy, CO2 levels, temperature, and humidity.
- AI-powered control engine that dynamically optimizes HVAC setpoints and ventilation rates.
- Integrated lighting and shading control for automated daylight harvesting and glare reduction.
- Building Information Modeling (BIM) integration for contextualized environmental management.
- Cloud-based analytics dashboard providing real-time performance monitoring and historical trend analysis.
- API for integration with existing Building Management Systems (BMS) and enterprise resource planning (ERP) software.
- Predictive analytics for equipment failure and maintenance scheduling.